THE CDU1200
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1.2 MW (@ 4°C Approach) of controlled cooling distribution in a compact footprint
Sketches of the auto-injector pen design
solutions, which would have been impossible without simulation tools. We can also virtually test all requirements before we have physical prototypes. This saves time and sets the foundation for a robust design.’
Autonomous future Simulation is also aiding the development of autonomous medical devices, such as glucose sensors for diabetic insulin pumps. Marchal explained: ‘By modelling the pump and creating a digital twin of the patient’s body, the pump is able to automatically administer the medicine without a patient or the doctor having to step in.’ Marchal added: ‘Simulation
also helps maximise patient safety by modelling and predicting the behaviour of the device and its embedded software for various scenarios, therefore, minimising risk of an inadequate response from the system in extreme situations.’ But we need to collect more medical data to fuel
“Virtually testing all requirements before physical prototypes saves time and sets foundation for a robust design”
automation and AI further, which is where the increased adoption of IoT-enabled wearables could help, allowing clinicians to ‘more fully realise the potential of machine learning in the healthcare industry,’ said Mahalingam. There is no mistake that
artificial intelligence will help us better design devices for our human bodies, as Levine concluded: ‘Over time, AI will become an invaluable tool throughout the medical device value chain as the quality of the data improves. ‘Today, the reliability is
limited, since the data is not well-curated, but the use of automation will result in more consistent data, and therefore better training sets for AI.’
Continued innovation in CDU technology to tackle growing server cooling demands
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www.servercool.com/contact-us An optimised hip implant reduces stress shielding
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